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Chance and Data in the News is a
collection of chance newspaper articles from the Australian newspaper Hobart Mercury. These are
grouped according to the five topics: Data Collection and Sampling, Data Representation, Chance and Basic Probability, Data
Reduction and Inference. Each topic starts with general questions for articles related to this topic. In addition, each article
has specific questions pertaining to it and reference to related articles.
John Paulos' writes a column entitled "Who's Counting?" for ABC News on-line.
John's column appears the first day of each month.
The Daily LessonPlan
provides math lessons based on the day's news, written by Alison Zimbalist of the
New York Times Learning Network, and Lorin Driggs, of The Bank Street College of Education in New York City. The
lessons are based on articles in the New York Times and the text of the related articles is available.
Linda Thiel at Ursinus College
teaches a course
called Life's a Risk
that is based on current issues in the news related to risks.
Robert Griffin
at Marquette University teaches a graduate seminar called
Quantitative
Research Methods in Communication.
His site has many interesting examples, including some based on our Chance materials.
Philip Stark at the University of California Berkeley is writing
an on-line text "Statistical Tools for Internet and
Classroom Instruction
with a Graphical User Interface" which he has used in teaching Berkeley's introductory course
Statistics 2. Prof. Stark also testifies for chance issues in the courts.
You will find, for example, at his homepage papers,
talks and testimony relating to sampling issues in the Census.
The IEM Presidential Election Market.This is a
real-money futures market where contract payoffs will
be determined by theoutcome of major elections.
At the homepage of Jim Morrow
you will find here a nice discussion of Malthus and population growth
and also mathematical models. These came from his experience teaching
the Mount Holyoke College Quantitative Reasoning course.
Harold Brooks does research on weather forecasting and teaches
a course on weather verification. See also his evaluation of
five different weather predictions sources in Oklahoma City
for which the data is provided.
Tools for Teaching and Assessing Statistical Inference
by Joan Garfield, Robert C delMas, and Beth Chance.
This is an NSF project to construct modules based on simulations to help students understand basic statistical concepts
such as: sampling distribution, confidence intervals, p-values and power and to assess the students' understanding before
and after using these tools.
Probability Surprises by Susan Holmes. This is an NSF project to create a collection of
modules that surprise and engage students - the 'Gotcha!' of probability" It
includes Applets to simulate the the birthday problem, the coupon problem, matching
problems, a tree problem, and an experiment to see if you can tell the difference between a Bernoulli trial sequence and a
dependent sequence.
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